个人简介
彭小令博士，副教授，本科就读于四川大学数学系基地班，2001年至2005年作为四川大学和香港浸会大学联合培养博士生，师从方开泰教授攻读数据挖掘方向博士学位（理学博士，2005）。彭小令博士先后曾在香港浸会大学裘槎环境科学研究所，香港城市大学海洋污染国家重点实验室，美国加州大学洛杉矶分校（UCLA）生物统计系担任访问学者。彭小令博士近期从事各种数据挖掘方法，医学大数据，试验设计，统计分布代表点等方面的研究，在国际期刊上发表研究论文近20篇。和方开泰教授编写的统计学教材《现代基础统计学》先后被十几所大学用作统计课教材。曾主持和参与多个国家自然科学基金和广东省自然科学基金，以及珠海市的横向项目。彭小令博士于2007年4月从上海交通大学数学系加入北师港浸大（UIC）理工学部统计专业。
近期论文
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Jianfa Lai, Lin-Chen Weng, Xiaoling Peng, Kai-Tai Fang (2022), Construction of symmetric orthogonal designs with deep Q-network and orthogonal complementary design, Computational Statistics & Data Analysis, 107448, https://doi.org/10.1016/j.csda.2022.107448
Jianfa Lai, Kai-Tai Fang, Xiaoling Peng, and Yuxuan Lin (2021), Construction of Uniform Designs over Continuous Domain in Computer Experiments, Communications in Statistics - Simulation and Computation, 1-17.
https://doi.org/10.1080/03610918.2021.2011924
Liu J., Deng Y., Peng X. (2021) Online Statistics Teaching-Assisted Platform with Interactive Web Applications Using R Shiny. In: Jia W. et al. (eds) Emerging Technologies for Education. SETE 2021. Lecture Notes in Computer Science, vol 13089. Springer, Cham. https://doi.org/10.1007/978-3-030-92836-0_8.
Papers
Jiang T.T., Wang L., Chen H.L. Deng Y., Peng X.L. and Y. Hu (2021). Developmental characteristics of visual evoked potentials to different stimulation in normal children，International Journal of Neuroscience (INES).https://doi.org/10.1080/00207454.2021.1912039
Li N., Peng X.L., Kawaguchi E., Suchardand M. and Li G. (2021). A scalable surrogate L0 sparse regression method for generalized linear models with applications to large scale data. Journal of Statistical Planning and Inference, 213, 262–281.
Li X.Y., Meng H.F. and Peng X.L. (2020). Semi-Supervised Learning for Fault Identification in Electricity Distribution Networks. Proc. SPIE 11719, Twelfth International Conference on Signal Processing Systems, 117190B(33) (20 January 2021), https://doi.org/10.1117/12.2589229.
Li G., Liang J.J., Pan J.X., Peng X.L. and Tian G.L. (2020). Multivariate Analysis and Its Application. SCIENCE CHINA Mathematics (in Chinese). 50: 571-584.
Cheng, Huan & Chen, Doudou & Peng, X.L. & Wu, Peng & Hu, Yue. (2020). Clinical characteristics of Epstein–Barr virus infection in the pediatric nervous system. BMC Infectious Diseases. 20. 10.1186/s12879-020-05623-1.
Qu X.P., Vidaurr J., Peng X.L. Jiang L., Zhong M., Hong S.Q. and Hu Y. (2020). Seizure characteristics, outcome, and risk of epilepsy in pediatric anti–N-methyl-D-aspartate receptor encephalitis. Pediatric Neurology. 105, 35-40.
Peng X.L., Li G. and Liu Z.Q., (2015). Zero-Inflated Beta Regression for Differential Abundance Analysis with Metagenomics Data. Journal of computational biology,23(2), 1-9.
HM Leung, ZW Wang, ZH Ye, KL Yung, Peng X.L., KC Cheung. (2013). Interactions Between Arbuscular Mycorrhizae and Plants in Phytoremediation of Metal-Contaminated Soils: A Review. Pedosphere 23, 549-563.
Wu B., Peng X.L. (2012). Mapping Quality of Life with Chernoff Faces in China. Journal of Shanxi Economic Management Institute (in Chinese). 20 (1) 35-39.
Cheung K.C., Leung H. M., Ma K. K., Peng X. L. and Zheng J. S. (2012). Assessment on the Biodiversity, Water and Sediment Qualities of Remediated Estuaries in Hong Kong. International Journal of Environmental Protection, 2 (3) 1-14.
Wu S. C., Peng X.L., Cheung K.C., Liu S.L. and Wong M.H. (2009). Adsorption kinetics of Pb and Cd by two plant growth promoting rhizobacteria. Bioresource Technology, 100 (20) 4559-4563.
Choi M.P.K., Kang Y.H., Peng X.L., Ng K.W. and Wong M.H. (2009). Stockholm Convention organochlorine pesticides and polycyclic aromatic hydrocarbons in Hong Kong air. Chemosphere, 77 (6) 714-719.
Peng X.L., Wong M.H. (2007). Receptor Modeling for analyzing PCDD/F and dioxin like PCB Sources of Hong Kong. Environmental Modeling and Assessment, 12 (3) 229-237.
Peng X.L., Yin H., Li R. and Fang K.T. (2006). The application of Kriging and empirical Kriging based on the variables selected by SCAD. Analytica Chimica Acta 578, 178-185.
Peng X.L., Hu Q.N. and Liang Y.Z. (2005). Variable selection via nonconcave penalty function in structure-boiling points correlations. Journal of Molecular Structure: THEOCHEM 714, 235-242.
Peng X.L., Fang K.T., Liang Y.Z. and Hu Q.N. (2004). Impersonality of the Connectivity Index and Recomposition of Topological Indices According to Different Properties. Molecules 9, 1089-1099.
Textbook
Fang K.T. and Peng X.L., "Modern Elementary Statistics", Higher Education Press, 2014 (in Chinese).
Books (Book Chapters)
He P., Peng X.L., and Xu Q. S., Chapter 3: “From 'Clothing Standard' to 'Chemometrics' in China in Contemporary Experimental Design, Multivariate Analysis and Data Mining, Springer, 2014.
Li G. and Peng X.L., Chapter 4: “A Review of Prof. Kai-Tai Fang’s Contribution to the Education, Promotion, and Advancement of Statistics” in China in Contemporary Experimental Design, Multivariate Analysis and Data Mining, Springer, 2014.
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